Improving Multicore Server Performance and Reducing Energy Consumption by Workload Dependent Dynamic Power Management

IEEE Transactions on Cloud Computing

Volumn 4, Issue 2, 2016, Pages 122-137

  Li, Keqin ^a  

^a STATE UNIVERSITY OF NEW YORK   (United States)

Author keywords

Dynamic power management; energy consumption; multicore server processor; queueing model; response time

Indexed keywords

ELECTRIC POWER UTILIZATION; ENERGY MANAGEMENT; ENERGY UTILIZATION; INTEGRATED CIRCUIT DESIGN; QUEUEING THEORY; RESPONSE TIME (COMPUTER SYSTEMS); SPEED;

DYNAMIC POWER MANAGEMENT; MULTICORE SERVER PROCESSORS; POWER CONSUMPTION MODEL; POWER CONSUMPTION REDUCTION; QUEUEING MODEL; REDUCE ENERGY CONSUMPTION; REDUCING ENERGY CONSUMPTION; RESPONSE TIME REDUCTIONS;

POWER MANAGEMENT;

EID: 84976536788     PISSN: None     EISSN: 21687161     Source Type: Journal    
DOI: 10.1109/TCC.2015.2440238     Document Type: Article

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